Multi-taper transfer function estimation for stimulation artifact removal from neural recordings.

Research output: Contribution to journalArticle

Abstract

The ability to simultaneously stimulate and record from neural tissue is paramount to the creation of a feedback-enabled control system. This stimulation creates additional electrical potential as seen by the recording system. This artifact can be approximated by a linear transfer function of the stimulus current. The computation of the transfer function is complicated by measurement noise and the bias and variance inherent in spectral estimation. We reduce bias and variance by using multi-taper techniques. We demonstrate the use of this transfer function as a method to remove stimulation artifact in the context of neural modulation with applied low-frequency (<< 100 Hz) electric fields in chronically instrumented animals.

Original languageEnglish (US)
Pages (from-to)2772-2776
Number of pages5
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2008

Fingerprint

Artifacts
Transfer functions
Noise
Feedback control
Animals
Electric fields
Modulation
Tissue
Control systems

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

@article{c07498d0a6b54ca2bfefeb48e83a93f4,
title = "Multi-taper transfer function estimation for stimulation artifact removal from neural recordings.",
abstract = "The ability to simultaneously stimulate and record from neural tissue is paramount to the creation of a feedback-enabled control system. This stimulation creates additional electrical potential as seen by the recording system. This artifact can be approximated by a linear transfer function of the stimulus current. The computation of the transfer function is complicated by measurement noise and the bias and variance inherent in spectral estimation. We reduce bias and variance by using multi-taper techniques. We demonstrate the use of this transfer function as a method to remove stimulation artifact in the context of neural modulation with applied low-frequency (<< 100 Hz) electric fields in chronically instrumented animals.",
author = "Nick Chernyy and Schiff, {Steven J.} and Gluckman, {Bruce J.}",
year = "2008",
language = "English (US)",
pages = "2772--2776",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
issn = "1557-170X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Multi-taper transfer function estimation for stimulation artifact removal from neural recordings.

AU - Chernyy, Nick

AU - Schiff, Steven J.

AU - Gluckman, Bruce J.

PY - 2008

Y1 - 2008

N2 - The ability to simultaneously stimulate and record from neural tissue is paramount to the creation of a feedback-enabled control system. This stimulation creates additional electrical potential as seen by the recording system. This artifact can be approximated by a linear transfer function of the stimulus current. The computation of the transfer function is complicated by measurement noise and the bias and variance inherent in spectral estimation. We reduce bias and variance by using multi-taper techniques. We demonstrate the use of this transfer function as a method to remove stimulation artifact in the context of neural modulation with applied low-frequency (<< 100 Hz) electric fields in chronically instrumented animals.

AB - The ability to simultaneously stimulate and record from neural tissue is paramount to the creation of a feedback-enabled control system. This stimulation creates additional electrical potential as seen by the recording system. This artifact can be approximated by a linear transfer function of the stimulus current. The computation of the transfer function is complicated by measurement noise and the bias and variance inherent in spectral estimation. We reduce bias and variance by using multi-taper techniques. We demonstrate the use of this transfer function as a method to remove stimulation artifact in the context of neural modulation with applied low-frequency (<< 100 Hz) electric fields in chronically instrumented animals.

UR - http://www.scopus.com/inward/record.url?scp=84903863134&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903863134&partnerID=8YFLogxK

M3 - Article

C2 - 19163280

SP - 2772

EP - 2776

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SN - 1557-170X

ER -